30,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
Among 171 Aβ-positive CU participants included in the main analyses, 119 (mean [SD] age, 73.0 [5.4] years; 60.5% female) were from the BioFINDER-1 study, and 52 (mean [SD] age, 64.4 [4.6] years; 65.4% female) were from the WRAP study. 2 key findings →
Design: cohort study Participants: 564 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Although recent clinical trials targeting amyloid-β in Alzheimer's disease have shown promising results, there is increasing evidence suggesting that understanding alternative disease pathways that interact with amyloid-β metabolism and amyloid pathology might be important to halt the clinical deterioration. 4 key findings →
Design: longitudinal study Participants: 75 Evidence: moderate
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Mean age was 83.5 (SD, 8.5) years in cohort 1, 69.1 (SD, 10.3) years in cohort 2, and 35.8 (SD, 10.7) years in cohort 3; 38% were women in cohort 1, 51% in cohort 2, and 57% in cohort 3. 4 key findings →
Design: cross-sectional Participants: 301 Evidence: moderate
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The NfL level was increased at baseline in patients with mild cognitive impairment and AD dementia (mean levels: cognitive unimpairment, 32.1 ng/L; mild cognitive impairment, 37.9 ng/L; and AD dementia, 45.9 ng/L; P Conclusions and relevance The findings suggest that plasma NfL can be used as a noninvasive biomarker associated with neurodegeneration in patients with AD and may be useful to monitor effects in trials of disease-modifying drugs. 3 key findings →
Design: cohort study Participants: 1,583 Evidence: moderate
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We identified that combining plasma p-tau217 and a brief cognitive composite score was strongly related to greater risk of progression to AD dementia in MCI patients, suggesting that these measures could be key components of future prognostic algorithms for early AD. 2 key findings →
Participants: 110 Evidence: low
Full summary, score breakdown and related studies → Original source
Plasma pTau217 is effective for predicting A/T biomarker profile and cognitive decline, though further study is needed to better explain its association with Aβ and tau PET staging. 3 key findings →
Design: longitudinal study Participants: 2,919 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Polygenic risk scores (PRSs) have been used to combine the effects of variants with small effects identified by genome-wide association studies. 4 key findings →
Design: meta-analysis Participants: 1,200 Evidence: high
Full summary, score breakdown and related studies → Original source
Recent advancements in biomarkers have transformed Alzheimer's disease (AD) diagnosis from being purely symptom-based to include biological criteria. 1 key finding →
Design: longitudinal study Participants: 1,448 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Among 193 cognitively healthy controls, 197 patients with mild cognitive impairment, and 180 patients with AD with dementia, plasma NFL correlated with CSF NFL (Spearman ρ = 0.59, P Conclusions and relevance Plasma NFL is associated with AD diagnosis and with cognitive, biochemical, and imaging hallmarks of the disease. 3 key findings →
Design: case-control study Participants: 197 Evidence: moderate
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During follow-up, 271 participants with MCI were diagnosed with AD and 59 with other dementias. 2 key findings →
Design: cohort study Participants: 750 Evidence: moderate
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Inclusion criteria were early AD (mini-mental state examination [MMSE] score between 20 and 26 points or Alzheimer's disease assessment scale-cognitive subscale (ADAS-cog) score between 10 and 25 points), taking a stable dose of acetylcholinesterase inhibitor (donepezil, galantamine, or rivastigmine) for at least 4 months, a modified Hachinski score of 4 points or less, and CT or MRI results that were consistent with AD. 3 key findings →
Design: randomized controlled trial Participants: 78 Evidence: high
Full summary, score breakdown and related studies → Original source
Plasma tau partly reflects AD pathology, but the overlap between normal aging and AD is large, especially in patients without dementia. 3 key findings →
Design: longitudinal study Participants: 179 Evidence: moderate
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Smoothing splines demonstrated that earliest plasma p-tau181 changes occurred even before amyloid-β markers reached abnormal levels, with greater rates of change correlating with increased amyloid-β pathology. 4 key findings →
Design: prospective cohort Participants: 1,067 Evidence: moderate
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Neuroinflammation and cerebrovascular dysfunction are early events occurring already at presymptomatic stages of AD and contribute to disease progression. 5 key findings →
Design: longitudinal study Participants: 508 Evidence: moderate
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The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93-0.94). 3 key findings →
Design: longitudinal study Participants: 122 Evidence: moderate
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In response to sleep loss (+17.2%), compared with normal sleep (+1.8%), the evening to morning ratio was increased for t-tau ( p = 0.035). 4 key findings →
Evidence: high
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When identifying participants with abnormal CSF Aβ42/40 in the whole cohort, plasma IP-MS-WashU Aβ42/40 showed significantly higher accuracy (area under the receiver operating characteristic curve [AUC], 0.86; 95% CI, 0.81-0.90) than LC-MS-Arc Aβ42/40, IA-Elc Aβ42/40, IA-EI Aβ42/40, and IA-N4PE Aβ42/40 (AUC range, 0.69-0.78; P Conclusions and relevance The results from 2 independent cohorts indicate that certain MS-based methods performed better than most of the immunoassays for plasma Aβ42/40 when detecting brain Aβ pathology. 2 key findings →
Participants: 182 Evidence: moderate
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Survivors of a traumatic brain injury can deteriorate years later, developing brain atrophy and dementia. 4 key findings →
Evidence: low
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Neuroinflammatory biomarkers are associated with AD progression. 5 key findings →
Design: meta-analysis Evidence: high
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Study objectives To investigate the cumulative effect of five consecutive nights of partial sleep deprivation (PSD) on a panel of cerebrospinal fluid (CSF) biomarkers in healthy adults. 1 key finding →
Participants: 13 Evidence: high
Full summary, score breakdown and related studies → Original source
The mean (SD) age of the 842 participants in cohort 1 was 72 (5.6) years, with a range of 59 to 88 years, and 446 (52.5%) were female. 3 key findings →
Design: cross-sectional Participants: 842 Evidence: moderate
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The prevalence of pathologic AD markers was very common (46%) in a representative population sample of 70-year-olds. 3 key findings →
Design: cohort study Participants: 322 Evidence: moderate
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A combination of plasma phospho-tau (P-tau) and other accessible biomarkers might provide accurate prediction about the risk of developing Alzheimer's disease (AD) dementia. 2 key findings →
Participants: 340 Evidence: low
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Emerging plasma biomarkers of Alzheimer's disease might be non-invasive tools to trace early Alzheimer's disease-related abnormalities such as the accumulation of amyloid-beta peptides, neurofibrillary tau tangles, glial activation and neurodegeneration. 4 key findings →
Design: longitudinal study Participants: 164 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Increased levels of triglycerides at midlife predict brain Aβ and tau pathology 20 years later in cognitively healthy individuals. 5 key findings →
Design: cohort study Participants: 134 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read
This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.
Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.
Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.
We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.
The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.
See the whole rubric drawn out → — four charts covering all 30,180 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 30,180 records, built mostly from automated pulls of Europe PMC (64.2% of the library) and OpenAlex (16.9%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.
1,037 records (3.4% of the library) are not peer-reviewed — 964 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.
See the full, machine-readable breakdown of this library's coverage →